Keypoint Estimation
Introduction Keypoint Estimation involves identifying and locating the significant points of an object image [1]. In the case of humans, each of these keypoints depicts the joints of different body parts like shoulder, elbow, knee, etc; a set of such keypoints can be associated to…
De-noising & Dust Detection
Introduction At Flixstock in addition to garment to on-model imagery, we need to ensure that the garment appears in its original form without any sort of imperfections, like dust, wrinkles etc. that might have gotten introduced during logistics. There is a common problem of dust…
Foreground Extraction
Introduction Foreground Extraction has been an active ongoing research in the computer vision community since the last two decades. The current state-of-the-art methods usually follow two different methodologies for foreground extraction; (a) Semantic segmentation, and (b) Alpha matting. The following sections discuss each of these…
Color Transfer Between Images
There have been times when we think about how a particular image would look in a different color space. For instance, an image taken during the day would look like at dusk. A color transfer algorithm aims to transform the color space, mood or style…
Image Deformation
Image Deformation is a computer vision task which involves manipulating an image to change its shape, as seen in Figure 1. In such cases, the underlying transformation demands a dense correspondence of pixel coordinates between the source and target image [1]. Mathematically, for every pixel…
GAN: Latent Space Exploration
Introduction It is amazing to see how advances in Generative Adversarial Networks have led us to generate realistic high resolution images. We at FlixStock rely on Generative Adversarial Networks for generating realistic high quality model images. When we use GANs to generate images, it is…